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Record W1970855796 · doi:10.1121/1.429321

Effects of auditory and visual stimuli on motor facilitation of speech muscles

2000· article· en· W1970855796 on OpenAlexaff
Nivetha Aravind, Megha Sundara, Robert Chen

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2000
Typearticle
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsToronto Western HospitalMcGill UniversityUniversity of Toronto
Fundersnot available
KeywordsPremotor cortexConsonantTranscranial magnetic stimulationFacilitationMotor cortexPresentation (obstetrics)PsychologyAudiologyNeuroscienceSpeech recognitionComputer scienceStimulationMedicineAnatomyVowel

Abstract

fetched live from OpenAlex

Transcranial magnetic stimulation (TMS) was applied to the left motor cortex during presentation of video and audio speech stimuli. Motor evoked potentials (MEPs) were recorded from the right orbicularis oris muscle which is activated during pronunciation of the consonant /ba/ but not the consonant /ta/. Subjects were instructed to pay attention to six types of stimuli video presentation of the consonant /ba/, audio presentation of /ba/, audio and video presentation of /ba/, video presentation of /ta/, audio presentation of /ba/ with time-locked video presentation of video /ta/, and the face of the speaker when he was silent. The MEPs were enhanced only when subjects were visually presented with the consonant /ba/. Auditory presentations of the same consonant failed to elicit similar enhancement. The results from visual observation of the consonant /ba/ support other studies of motor facilitation in limb control research in monkeys and humans. In these studies observation of a motor action present in the repertoire of the animal results in enhanced MEPs representing automatic, covert retrieval of the matching action in the premotor cortex. This retrieval is, however, modality dependent. Auditorily presented signals do not trigger action retrieval from the premotor cortex in an identical way.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.790
Threshold uncertainty score0.468

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.297
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of the Acoustical Society of AmericaSame topicAction Observation and SynchronizationFrench-language works237,207